TY - GEN
T1 - Towards a smart highway lighting system based on road occupancy
T2 - International Summit on Applications for Future Internet, AFI 2016
AU - Mustafa, Ahmad M.
AU - Abubakr, Omar M.
AU - Derbala, Ahmed H.
AU - Ahmed, Essam
AU - Mokhtar, Bassem
N1 - Publisher Copyright:
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.
PY - 2017
Y1 - 2017
N2 - Energy saving is a major aspect of smart cities, so optimizing highway lighting is essential, as it consumes considerable amounts of energy. However, there is a remarkable potential for reducing this consumption through smart lighting techniques. This paper introduces preliminary design and simulation for a smart highway lighting management system based on road occupancy. Wireless Sensors Network (WSN) detects the presence of vehicles along the road, and controls lamps accordingly. The system is simulated and optimized using a realistic probabilistic model for vehicles traffic, taking the advantage of simulation to provide estimation for expected energy saving rates; in contrary to previous works depending only on rough calculations or real-time results after implementation. According to simulation results, the proposed system can save up to 57.4% of power consumption compared to conventional lighting systems.
AB - Energy saving is a major aspect of smart cities, so optimizing highway lighting is essential, as it consumes considerable amounts of energy. However, there is a remarkable potential for reducing this consumption through smart lighting techniques. This paper introduces preliminary design and simulation for a smart highway lighting management system based on road occupancy. Wireless Sensors Network (WSN) detects the presence of vehicles along the road, and controls lamps accordingly. The system is simulated and optimized using a realistic probabilistic model for vehicles traffic, taking the advantage of simulation to provide estimation for expected energy saving rates; in contrary to previous works depending only on rough calculations or real-time results after implementation. According to simulation results, the proposed system can save up to 57.4% of power consumption compared to conventional lighting systems.
KW - Energy saving
KW - Smart cities
KW - Smart highway lighting
KW - Traffic modeling
KW - Traffic simulation
KW - Wireless sensors network
UR - http://www.scopus.com/inward/record.url?scp=85009815191&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85009815191&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-49622-1_4
DO - 10.1007/978-3-319-49622-1_4
M3 - Conference contribution
AN - SCOPUS:85009815191
SN - 9783319496214
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 22
EP - 31
BT - Applications for Future Internet - International Summit, AFI 2016, Revised Selected Papers
A2 - Mayora, Oscar
A2 - Sucar, Enrique
A2 - de Cote, Enrique Muñoz
A2 - de Cote, Enrique Muñoz
PB - Springer Verlag
Y2 - 25 May 2016 through 28 May 2016
ER -